About this Research Topic
The ever-growing interest in and significant development of bio-inspired legged robotics accompany the progress of understanding biological natural systems. New research challenges are emerging, such as replicating biological locomotion and implementing biological principles in artificial systems while taking into account the increasing challenges of harsh on-ground environments. The main objective of bio-inspired legged robotics is to deepen the understanding of biological legged systems and investigate methodologies and new techniques for design, fabrication, and robot control.
The goal of this Research Topic is to report the recent achievements in the development of bio-inspired legged robotic systems, and identify challenging issues in this realm. We are particularly interested in the development of bio-inspired legged robots, bio-inspired sensing for legged robots, machine learning for bio-inspired legged robots, and also the significant progress in bionics study for legged robots. Studies on industrial applications using bio-inspired robots for 3D mapping, inspection, delivery, and human-robot collaboration for surveying complex, unstructured environments are also welcome.
Papers should focus on the general topics of bio-inspired legged robotic systems, especially the methodologies to address the challenging issues in this field and the innovative ideas that inspire robotic engineers from the distinctive feature of legged biological systems, including but not limited to the following sub-topics:
- Mechanism design of bio-inspired legged robots
- Sensing for bio-inspired legged robots
- Machine learning for bio-inspired legged robotic systems
- Control of biomimetic legged robots
- Bionics for legged robots
- Bio-inspired legged robots traversing unstructured environments for inspection, monitoring, 3D mapping, and delivery
The goal of this Research Topic is to report the recent achievements in the development of bio-inspired legged robotic systems, and identify challenging issues in this realm. We are particularly interested in the development of bio-inspired legged robots, bio-inspired sensing for legged robots, machine learning for bio-inspired legged robots, and also the significant progress in bionics study for legged robots. Studies on industrial applications using bio-inspired robots for 3D mapping, inspection, delivery, and human-robot collaboration for surveying complex, unstructured environments are also welcome.
Papers should focus on the general topics of bio-inspired legged robotic systems, especially the methodologies to address the challenging issues in this field and the innovative ideas that inspire robotic engineers from the distinctive feature of legged biological systems, including but not limited to the following sub-topics:
- Mechanism design of bio-inspired legged robots
- Sensing for bio-inspired legged robots
- Machine learning for bio-inspired legged robotic systems
- Control of biomimetic legged robots
- Bionics for legged robots
- Bio-inspired legged robots traversing unstructured environments for inspection, monitoring, 3D mapping, and delivery
Keywords: sensing, computational intelligence, bio-inspired legged robots, machine learning for legged robots, control
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
